QM-007HighProviderPreventive
Post-Market Monitoring Plan
Article 17(1)(f) requires providers to implement a post-market monitoring plan that specifies the data to be collected, the monitoring frequency, the performance thresholds, and the feedback mechanisms for incorporating operational insights.
Articles:Article 17(1)(f)Article 72
Evidence Examples
- Post-market monitoring plan document
- Monitoring KPI definitions
- Data collection mechanism description
Standards
ISO 42001:2023 §9.1Annex VII EU AI Act
Related controls
- QM-001Quality Management System EstablishmentArticle 17(1) requires providers of high-risk AI systems to put in place a quality management system that ensures compliance with the requirements of the…
- QM-002Regulatory Compliance StrategyProviders must establish and document a strategy for achieving and maintaining compliance with applicable regulatory requirements, including the EU AI…
- QM-003Design Control ProceduresProviders must implement documented design control procedures that ensure regulatory and performance requirements are systematically incorporated from the…
- QM-004Data Management ProceduresProviders must have documented data management procedures covering the acquisition, preparation, use, and retention of data throughout the AI system…
- QM-005Staff Training and Competency ProceduresArticle 17(1)(d) requires providers to implement procedures for training personnel involved in AI system development, testing, and monitoring, with…
- QM-006Pre-Market Testing and Validation ProceduresProviders must implement documented procedures for pre-market testing and validation of high-risk AI systems, including the metrics to be achieved, the…
Related EU AI Act terms
- Quality Management SystemA documented system that providers of high-risk AI systems must establish, implement, document, and maintain covering: the regulatory compliance strategy, design and development processes, data governance procedures, risk management, post-market monitoring, and incident reporting.
- Post-Market MonitoringProactive collection and review of experience gained from the use of high-risk AI systems, to identify any need for corrective or preventive actions and ensure continued compliance throughout the system lifecycle.
Upgrade when it needs to be
The free questionnaire returns preliminary signals. The Full Assessment turns real system material into a governed decision record - extraction, component separation, evidence, national overlays, and a review-ready dossier.
Start free risk preview